大规模比较人类撰写的文章与ChatGPT生成的文章
Steffen Herbold1, Annette Hautli-Janisz2, Ute Heuer2
1Faculty of Computer Science and Mathematics, University of Passau, Passau, Germany. steffen.herbold@uni-passau.de.
Scientific reports
|October 31, 2023
概括
像ChatGPT这样的生成人工智能 (AI) 模型产生比人类学生更高质量的文章. 教师必须调整教学方法,以有效地整合人工智能工具,专注于核心概念和利用人工智能提高效率.
科学领域:
- 人工智能的人工智能
- 教育 技术 技术 教育 技术
- 自然语言处理自然语言处理.
背景情况:
- 生成性AI模型,如ChatGPT,已经迅速获得广泛采用.
- 公共话语表明人工智能对社会和教育产生了重大影响,但缺乏严格的科学证据.
- 现有的AI性能基准通常是专有的,缺乏独立验证.
研究的目的:
- 系统地评估人工智能生成的内容质量与人类撰写的内容相比.
- 分析人工智能生成和人类撰写的论证论文之间的语言差异.
- 为教育工作者提供基于证据的见解,了解AI在学习中的整合.
主要方法:
- 一个大规模的比较研究人类写的和ChatGPT生成的学生论证论文.
- 许多教师对文章质量的专家评价.
- 对论文特征进行语言分析,以识别风格差异.
主要成果:
- 聊天GPT生成的文章比人类撰写的文章获得了更高的质量评分.
- 与人类写作相比,人工智能生成的文章表现出明显的语言特征.
- 该研究提供了关于生成AI在学术写作中的表现的经验证据.
结论:
- 以ChatGPT为例的生成性AI在制作论证性论文方面表现出比人类学生更好的表现.
- 教育机构需要主动解决人工智能在教育中的影响.
- 教学方法必须不断发展,以整合人工智能工具,将重点转向概念理解和更高层次的思维技能.
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